{"id":"W2013591294","doi":"10.1115/1.4007213","title":"Nonlinear Stress–Strain Characterization of Cast Iron Used to Manufacture Pipes for Water Supply","year":2012,"lang":"en","type":"article","venue":"Journal of Engineering Materials and Technology","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Thames Water","keywords":"Constitutive equation; Ultimate tensile strength; Structural engineering; Compression (physics); Tension (geology); Stress (linguistics); Bending; Deformation (meteorology); Nonlinear system; Compressive strength; Cast iron; Stress–strain curve; Materials science; Flexural strength; Law; Engineering; Finite element method; Composite material; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001501654,0.0001691072,0.0003639722,0.0003239641,0.00001792601,0.00002096336,0.0001197111,0.0002187076,0.00001859248],"category_scores_gemma":[0.00003794835,0.0001283777,0.00003877385,0.00008149673,0.00001666201,0.0001127154,0.00002623781,0.0001288658,6.576419e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002081384,"about_ca_system_score_gemma":0.000003942296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.934012e-7,"about_ca_topic_score_gemma":2.549326e-7,"domain_scores_codex":[0.9991518,0.000004219818,0.0003966874,0.00007086458,0.00008200661,0.0002944317],"domain_scores_gemma":[0.9996746,0.00002072851,0.00005850679,0.0001090699,0.00005374638,0.00008340771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009046912,0.00001309676,0.00006151213,0.0002765575,0.00003427948,0.000001542348,0.00008840869,0.01407845,0.9845216,0.0002256651,0.000009375839,0.0006805224],"study_design_scores_gemma":[0.0002870042,0.0001508686,0.002767222,0.00009180594,0.00003034306,0.00008735949,0.00001793501,0.0005668322,0.9915877,0.0000513007,0.004201409,0.0001602025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978102,0.0001021249,0.02043326,0.0001800493,0.0007255218,0.00009772865,0.0002515806,0.000105917,0.000001814398],"genre_scores_gemma":[0.9932441,0.00003610606,0.006379093,0.00000454224,0.0002526196,0.000008024462,0.00003041215,0.00003660284,0.00000851922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01514208,"threshold_uncertainty_score":0.5235091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005091353130122313,"score_gpt":0.192617021926736,"score_spread":0.1875256687966137,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}